Annotation-Free Gliomas Segmentation Based on a Few Labeled General Brain Tumor Images. - Hexin Dong; Fei Yu; Han Jiang; Hua Zhang; Bin Dong 001; Quanzheng Li; Li Zhang 047 (ISBI, 2020)

AF-SEG: An Annotation-Free Approach for Image Segmentation by Self-Supervision and Generative Adversarial Network. - Fei Yu; Hexin Dong; Mo Zhang; Jie Zhao 009; Bin Dong 001; Quanzheng Li; Li Zhang 047 (ISBI, 2020)

DAST: Unsupervised Domain Adaptation in Semantic Segmentation Based on Discriminator Attention and Self-Training. - Fei Yu; Mo Zhang; Hexin Dong; Sheng Hu; Bin Dong 001; Li Zhang 047 (AAAI, 2021)

Unsupervised Domain Adaptation in Semantic Segmentation Based on Pixel Alignment and Self-Training. - Hexin Dong; Fei Yu; Jie Zhao 009; Bin Dong 001; Li Zhang 047 (CoRR, 2021)

Layer-Parallel Training of Residual Networks with Auxiliary-Variable Networks. - Qi Sun; Hexin Dong; Zewei Chen; Jiacheng Sun; Zhenguo Li; Bin Dong 001 (CoRR, 2021)

Region-Aware Metric Learning for Open World Semantic Segmentation via Meta-Channel Aggregation. - Hexin Dong; Zifan Chen; Mingze Yuan; Yutong Xie 004; Jie Zhao 009; Fei Yu; Bin Dong 001; Li Zhang 047 (IJCAI, 2022)

CrossMoDA 2021 challenge: Benchmark of Cross-Modality Domain Adaptation techniques for Vestibular Schwnannoma and Cochlea Segmentation. - Reuben Dorent; Aaron Kujawa; Marina Ivory; Spyridon Bakas; Nicola Rieke; Samuel Joutard; Ben Glocker; Jorge Cardoso 002; Marc Modat; Kayhan Batmanghelich; Arseniy Belkov; Maria G. Baldeon Calisto; et al. (CoRR, 2022)

Devil is in the Queries: Advancing Mask Transformers for Real-world Medical Image Segmentation and Out-of-Distribution Localization. - Mingze Yuan; Yingda Xia; Hexin Dong; Zifan Chen; Jiawen Yao; Mingyan Qiu; Ke Yan 006; Xiaoli Yin; Yu Shi; Xin Chen 058; Zaiyi Liu; Bin Dong 001; et al. (CVPR, 2023)

MetaViT: Metabolism-Aware Vision Transformer for Differential Diagnosis of Parkinsonism with 18F-FDG PET. - Lin Zhao 004; Hexin Dong; Ping Wu 003; Jiaying Lu 006; Le Lu 001; Jingren Zhou 001; Tianming Liu 001; Li Zhang 047; Ling Zhang 002; Yuxing Tang; Chuantao Zuo (IPMI, 2023)

Improved Prognostic Prediction of Pancreatic Cancer Using Multi-phase CT by Integrating Neural Distance and Texture-Aware Transformer. - Hexin Dong; Jiawen Yao; Yuxing Tang; Mingze Yuan; Yingda Xia; Jian Zhou; Hong Lu; Jingren Zhou 001; Bin Dong 001; Le Lu 001; Zaiyi Liu; Li Zhang 047; et al. (MICCAI (5), 2023)

Cluster-Induced Mask Transformers for Effective Opportunistic Gastric Cancer Screening on Non-contrast CT Scans. - Mingze Yuan; Yingda Xia; Xin Chen 058; Jiawen Yao; Junli Wang; Mingyan Qiu; Hexin Dong; Jingren Zhou 001; Bin Dong 001; Le Lu 001; Li Zhang 047; Zaiyi Liu; et al. (MICCAI (5), 2023)

CrossMoDA 2021 challenge: Benchmark of cross-modality domain adaptation techniques for vestibular schwannoma and cochlea segmentation. - Reuben Dorent; Aaron Kujawa; Marina Ivory; Spyridon Bakas; Nicola Rieke; Samuel Joutard; Ben Glocker; M. Jorge Cardoso; Marc Modat; Kayhan Batmanghelich; Arseniy Belkov; Maria G. Baldeon Calisto; et al. (Medical Image Anal., 2023)

Multi-Scale Clinical-Guided Binocular Fusion Framework for Predicting New-Onset Hypertension Over a Four-Year Period. - Haoshen Li; Zifan Chen; Jie Zhao 009; Heyun Chen; Hexin Dong; Mingze Yuan; Bin Dong 001; Li Zhang 047 (ISBI, 2024)

crossMoDA Challenge: Evolution of Cross-Modality Domain Adaptation Techniques for Vestibular Schwannoma and Cochlea Segmentation from 2021 to 2023. - Navodini Wijethilake; Reuben Dorent; Marina Ivory; Aaron Kujawa; Stefan Cornelissen; Patrick Langenhuizen; Mohamed Okasha; Anna Oviedova; Hexin Dong; Bogyeong Kang; Guillaume Sallé; Luyi Han; et al. (CoRR, 2025)